kvcache-ai-ktransformers/archive/csrc/balance_serve/kvc2/test/kvc2test/lookup-alt-gpu.cpp
Jiaqi Liao 57d14d22bc
Refactor: restructure repository to focus on kt-kernel and KT-SFT modulesq recon (#1581)
* refactor: move legacy code to archive/ directory

  - Moved ktransformers, csrc, third_party, merge_tensors to archive/
  - Moved build scripts and configurations to archive/
  - Kept kt-kernel, KT-SFT, doc, and README files in root
  - Preserved complete git history for all moved files

* refactor: restructure repository to focus on kt-kernel and KT-SFT modules

* fix README

* fix README

* fix README

* fix README

* docs: add performance benchmarks to kt-kernel section

Add comprehensive performance data for kt-kernel to match KT-SFT's presentation:
- AMX kernel optimization: 21.3 TFLOPS (3.9× faster than PyTorch)
- Prefill phase: up to 20× speedup vs baseline
- Decode phase: up to 4× speedup
- NUMA optimization: up to 63% throughput improvement
- Multi-GPU (8×L20): 227.85 tokens/s total throughput with DeepSeek-R1 FP8

Source: https://lmsys.org/blog/2025-10-22-KTransformers/

This provides users with concrete performance metrics for both core modules,
making it easier to understand the capabilities of each component.

* refactor: improve kt-kernel performance data with specific hardware and models

Replace generic performance descriptions with concrete benchmarks:
- Specify exact hardware: 8×L20 GPU + Xeon Gold 6454S, Single/Dual-socket Xeon + AMX
- Include specific models: DeepSeek-R1-0528 (FP8), DeepSeek-V3 (671B)
- Show detailed metrics: total throughput, output throughput, concurrency details
- Match KT-SFT presentation style for consistency

This provides users with actionable performance data they can use to evaluate
hardware requirements and expected performance for their use cases.

* fix README

* docs: clean up performance table and improve formatting

* add pic for README

* refactor: simplify .gitmodules and backup legacy submodules

- Remove 7 legacy submodules from root .gitmodules (archive/third_party/*)
- Keep only 2 active submodules for kt-kernel (llama.cpp, pybind11)
- Backup complete .gitmodules to archive/.gitmodules
- Add documentation in archive/README.md for researchers who need legacy submodules

This reduces initial clone size by ~500MB and avoids downloading unused dependencies.

* refactor: move doc/ back to root directory

Keep documentation in root for easier access and maintenance.

* refactor: consolidate all images to doc/assets/

- Move kt-kernel/assets/heterogeneous_computing.png to doc/assets/
- Remove KT-SFT/assets/ (images already in doc/assets/)
- Update KT-SFT/README.md image references to ../doc/assets/
- Eliminates ~7.9MB image duplication
- Centralizes all documentation assets in one location

* fix pic path for README
2025-11-10 17:42:26 +08:00

125 lines
3.8 KiB
C++

/**
* @Description :
* @Author : Xie Weiyu
* @Date : 2024-11-22 08:29:45
* @Version : 1.0.0
* @LastEditors : Xie Weiyu
* @LastEditTime : 2024-11-22 09:56:12
* @Copyright (c) 2024 by KVCache.AI, All Rights Reserved.
**/
#include <future>
#include "common.hpp"
int main(int argc, char* argv[]) {
init(argc, argv);
spdlog::set_level(spdlog::level::trace);
auto kvc2 = kvc2::create_kvc2(config);
std::mt19937 gen(123);
std::vector<std::vector<Token>> ids;
std::vector<std::vector<layer_data>> k, v;
for (size_t i = 0; i < 10; i++) {
ids.push_back(random_ids(1 * config.num_token_per_page, gen));
k.push_back(random_kvcache(1, gen));
v.push_back(random_kvcache(1, gen));
kvc2->raw_insert(test_model_name, test_quant_type, ids[i].data(), ids[i].size(), k[i], v[i]);
}
kvc2->debug();
{
// all match
std::vector<Token*> chunks;
std::vector<TokenLength> lengths;
for (size_t i = 0; i < 10; i++) {
chunks.push_back(ids[i].data());
lengths.push_back(ids[i].size());
}
std::promise<std::shared_ptr<DoubleCacheHandleInterface>> p;
kvc2->lookup_alt_to_gpu_async(test_model_name, test_quant_type, chunks, lengths, 15 * config.num_token_per_page,
[&p](std::shared_ptr<DoubleCacheHandleInterface> h) { p.set_value(h); });
auto fut = p.get_future();
fut.wait();
auto h = fut.get();
auto hk = h->handle_data(true);
auto hv = h->handle_data(false);
for (size_t i = 0; i < 10; i++) {
cmp_handle_data(slice(hk, i, i + 1), k[i], 1);
cmp_handle_data(slice(hv, i, i + 1), v[i], 1);
}
auto block_idx = h->get_gpu_block_idx();
auto [kcache, vcache] = kvc2->get_kvcache();
for (size_t i = 0; i < 10; i++) {
std::vector<size_t> blocks = {block_idx[i]};
cmp_handle_gpu(blocks, kcache, vcache, k[i], v[i], 1);
}
}
{
// no match in the middle
std::vector<Token*> chunks;
std::vector<TokenLength> lengths;
std::vector<std::vector<Token>> new_ids;
for (size_t i = 0; i < 10; i++) {
new_ids.push_back(random_ids(1 * config.num_token_per_page, gen));
}
for (size_t i = 0; i < 10; i++) {
if (i == 1 || i == 5 || i == 6) {
chunks.push_back(new_ids[i].data());
} else {
chunks.push_back(ids[i].data());
}
lengths.push_back(ids[i].size());
}
std::promise<std::shared_ptr<DoubleCacheHandleInterface>> p;
kvc2->lookup_alt_to_gpu_async(test_model_name, test_quant_type, chunks, lengths, 15 * config.num_token_per_page,
[&p](std::shared_ptr<DoubleCacheHandleInterface> h) { p.set_value(h); });
auto fut = p.get_future();
fut.wait();
auto h = fut.get();
auto statuses = h->matched_status();
for (size_t i = 0; i < 10; i++) {
if (i == 1) {
assert(statuses[i] == MatchStatus::NotMatchExact);
} else if (i == 5 || i == 6) {
assert(statuses[i] == MatchStatus::NotMatchPartial);
} else if (i == 0) {
assert(statuses[i] == MatchStatus::Exact);
} else {
assert(statuses[i] == MatchStatus::Partial);
}
}
auto hk = h->handle_data(true);
auto hv = h->handle_data(false);
for (size_t i = 0; i < 10; i++) {
if (i == 1 || i == 5 || i == 6) {
} else {
cmp_handle_data(slice(hk, i, i + 1), k[i], 1);
cmp_handle_data(slice(hv, i, i + 1), v[i], 1);
}
}
auto block_idx = h->get_gpu_block_idx();
auto [kcache, vcache] = kvc2->get_kvcache();
for (size_t i = 0; i < 10; i++) {
if (i == 1 || i == 5 || i == 6) {
} else {
std::vector<size_t> blocks = {block_idx[i]};
cmp_handle_gpu(blocks, kcache, vcache, k[i], v[i], 1);
}
}
}
SPDLOG_CRITICAL("All Test Passed: {}", argv[0]);
return 0;
}